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Plant Simulation Jobs (NOW HIRING)

Waltonen

Application Engineer, Tecnomatix

Warren, MI · On-site +1

Process Designer, Process Simulate, Plant Simulation, and VSA • Understanding of Discrete Event Simulation • Understanding of Robotic Systems and Automation All employees are required to work ...

Shield AI

Staff Engineer, Industrial (R4300)

Dallas, TX

$120K - $190K/yr

Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity, and bottlenecks. * Write a Launch Layout & Flow Playbook including signage, floor markings, tugger ...

PMC

Simulation Engineer

Dearborn, MI · On-site

Present simulation & results as required to VOME Management, Plant Management, etc. * Provide MTBF/MTTR benchmarks for Factory Information System and IIoT Monitoring. * Reporting and presenting good ...

Shield AI

Staff Engineer, Industrial (R4300)

Dallas, TX · On-site

$120K - $190K/yr

Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity, and bottlenecks. * Write a Launch Layout & Flow Playbook including signage, floor markings, tugger ...

Waltonen

Application Engineer, Tecnomatix

Warren, MI · Remote

Process Designer, Process Simulate, Plant Simulation, and VSA • Understanding of Discrete Event Simulation • Understanding of Robotic Systems and Automation All employees are required to work ...

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$86.6K

$154K

How much do plant simulation jobs pay per year?

As of Jul 4, 2026, the average yearly pay for plant simulation in the United States is $86,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $111,500.00 per year, depending on experience, location, and employer.

What careers are there in plant science?

Careers in plant science include roles such as plant biologist, agronomist, horticulturist, plant geneticist, and crop scientist. These positions often require knowledge of biology, ecology, and laboratory or field research skills, and may involve working in research institutions, farms, or environmental organizations.

What are the key skills and qualifications needed to thrive in the Plant Simulation position, and why are they important?

To thrive in a Plant Simulation role, you should have expertise in industrial engineering, process optimization, and data analysis, often backed by a degree in engineering or a related field. Familiarity with simulation software like Siemens Tecnomatix Plant Simulation, AutoCAD, and experience with ERP or MES systems are frequently required. Strong problem-solving abilities, attention to detail, and effective collaboration skills set top candidates apart. These skills are critical to accurately model real-world manufacturing processes and drive efficiency improvements in plant operations.

What engineer makes 500,000 a year?

Highly experienced engineers in specialized fields such as petroleum, aerospace, or software engineering can earn salaries around $500,000 annually, often including bonuses and stock options. These roles typically require advanced degrees, extensive expertise, and leadership responsibilities within their organizations.

What careers use simulation?

Careers that use simulation include roles in manufacturing, engineering, logistics, and process optimization, where professionals model and analyze systems to improve efficiency and safety. Plant simulation specialists, for example, use software tools to create virtual models of production processes, requiring skills in programming, data analysis, and system design.

Are simulation engineers in demand?

Simulation engineers are in demand across industries such as manufacturing, aerospace, and automotive, as companies seek to optimize processes and reduce costs through digital modeling. Skills in software like FlexSim, AnyLogic, or SIMUL8, along with knowledge of systems engineering, enhance employability in this field.

What is a Plant Simulation job?

A Plant Simulation job involves using specialized software, such as Siemens Tecnomatix Plant Simulation, to model, analyze, and optimize manufacturing and production processes. Professionals in this role create digital models of factories, supply chains, and logistics systems to identify inefficiencies, improve workflows, and reduce costs. They work closely with engineers, production managers, and stakeholders to ensure smooth operations and increased productivity. This position requires expertise in simulation tools, data analysis, and problem-solving skills to enhance overall system performance.

What are some typical daily responsibilities for someone in a Plant Simulation role?

As a Plant Simulation specialist, your daily tasks often involve developing and running simulation models to test plant layouts, optimize workflows, and analyze production bottlenecks. You will regularly collaborate with engineering, production, and IT teams to collect data, implement process changes, and validate simulation results. Reviewing and interpreting simulation outputs, preparing reports for management, and making recommendations based on data-driven insights are also key parts of the job. This hands-on and collaborative environment allows you to directly influence production efficiency and operational improvements.

More about Plant Simulation jobs
What are the most commonly searched types of Plant Simulation jobs? The most popular types of Plant Simulation jobs are:
What states have the most Plant Simulation jobs? States with the most job openings for Plant Simulation jobs include:
What job categories do people searching Plant Simulation jobs look for? The top searched job categories for Plant Simulation jobs are:
Plant Simulation jobs near you
Infographic showing various Plant Simulation job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $86,568 per year, or $41.6 per hour.
Staff Engineer, Industrial (R4300)

Staff Engineer, Industrial (R4300)

Shield AI

Dallas, TX

Full-time

Posted 17 days ago

Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
The Senior Production Engineer applies 7+ years of experience designing high-efficiency manufacturing systems, material flow loops, and pilot cell layouts for aerospace or advanced hardware production. You will architect end to end workflows from point-of-use material presentation to full-factory flow modeling ensuring takt compliance, ergonomic operations, and scalable production readiness. 
 
What you'll do:
  • Map current-state flow: cycle/takt times, operator walk paths, WIP, supermarkets/kitting strategies, replenishment loops. 
  • Produce detailed 2D layouts and 3D/VR models with utilities, rack placement, POUs, FIFO lanes, safety zones, and equipment footprints. 
  • Run capacity analysis, line balancing, buffer sizing, and kanban calculations. 
  • Define material presentation (kitting, bulk, sequencing) and packaging standards for mechanical/composite/electrical parts. 
  • Lead cross-functional layout design reviews with ME, IE, Quality, EHS, and Production. 
  • Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity, and bottlenecks. 
  • Write a Launch Layout & Flow Playbook including signage, floor markings, tugger routes, supermarket definitions, and build-station standards. 
  • Support physical installation (tape-outs, rack placement, utility tie-ins) and validate performance through time studies and spaghetti diagrams. 
Tools & Skills 
  • AutoCAD, Visio, Plant Simulation/FlexSim/AnyLogic, time-study methods, line balancing, 5S/visual management, industrial engineering principles. 
Required qualifications:
  • 7+ years of experience in factory layout, industrial engineering, material flow design, or related AME functions. 
  • Bachelor’s degree in Mechanical, Industrial, Systems, or related engineering field. 
  • Experience in prototype manufacturing in a startup or rapid-growth environment. 
  • Strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly. 
  • Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities. 
Preferred qualifications:
  • Knowledge of quality standards, such as AS9100 or ISO 9001. 
  • Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems. 
  • Strong project management skills, including experience managing multiple priorities and deadlines. 
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.